Empowering UAS Operators with Real-Time Cogntive Clarity
Empowering UAS Operators with Real-Time Cogntive Clarity
Empowering UAS Operators with Real-Time Cogntive Clarity
Nudge is the first EEG-powered responsive system designed to actively improve cognitive enhancement for mission-critical operations.
Drone Operator vigilance significantly drops after just 20–30 minutes of continuous monitoring.
Drone Operator vigilance significantly drops after just 20–30 minutes of continuous monitoring.
Concentration ebbs and flows, despite the best of efforts. What's done when it lapses is the key to exterminating all out of loop errors. But there’s never been a tool to identify, quantify, and refine distraction and fatigue patterns. Until now.
Concentration ebbs and flows, despite the best of efforts. What's done when it lapses is the key to exterminating all out of loop errors. But there’s never been a tool to identify, quantify, and refine distraction and fatigue patterns. Until now.
Nudge personalizes its results to your individual brainwaves.
Our patent-pending technology fits behind the ear and uses machine learning, physical feedback, and EEG biomarkers to provide active physical response to distractions. This pairs with our AI-powered co-pilot to use resulting neural data for training and adaptive UAS triaging.
Introducing Nudge, the ultimate
vigilance sustaining device.
Introducing Nudge, the ultimate
vigilance sustaining device.
Introducing Nudge, the ultimate
vigilance sustaining device.
Nudge personalizes its results to an operator's individual brainwaves.
Our patent-pending technology fits behind the ear and uses machine learning, physical feedback, and EEG biomarkers to provide active physical response to distractions. This pairs with our AI-powered co-pilot to use resulting neural data for training and adaptive UAS triaging.
Step 2
Analyze
After initializing, the AI Agent on our co-pilot application will learn where, when, and how an operator performs at peak while minimizing fatigue. This results in personalized neural data.
Step 1
Wear
Initially, the UAS operator will wear our device in testing environments to help Nudge learn their patterns. This is where the physical feedback model starts to become personalized, delivering physical cues when distraction is sensed.
Step 3
Improve
The AI and neurohaptic algorithm will improve productivity patterns to include longer and more sustainable periods of productivity over time.
It will also be used in training scenarios to assess operator response to different situations, and in adaptive "triaging".
Step 1
Wear
Initially, the UAS operator will wear our device in testing environments to help Nudge learn their patterns. This is where the physical feedback model starts to become personalized, delivering physical cues when distraction is sensed.
The AI and neurohaptic algorithm will improve productivity patterns to include longer and more sustainable periods of productivity over time.
It will also be used in training scenarios to assess operator response to different situations, and in adaptive "triaging" systems. In this system, operators with less fatigue will be recommended an assignment in higher risk combat zones in real time.
Step 3
Improve
The AI and neurohaptic algorithm will improve productivity patterns to include longer and more sustainable periods of productivity over time.
It will also be used in training scenarios to assess operator response to different situations, and in adaptive "triaging" systems. In this system, operators with less fatigue will be recommended an assignment in higher risk combat zones in real time.
How it works
Nudge tracks brain signals, responding with physical feedback when it senses distraction through our patent-pending closed-loop algorithm. This gives the UAS operator a simple, effective, and non-intrusive cue to get back on task.
Simultaneously, our app will track productivity patterns and use artificial intelligence to provide invaluable training data for operational assignment, ranking drone operators by their ability to be vigilant. Further, it will provide real-time adaptive triaging, assigning higher risk zones to those with more mental capacity to deal with it.
Step 3
Improve
Step 2
Analyze
After initializing, the AI Agent on our co-pilot application will learn where, when, and how an operator performs at peak while minimizing fatigue. This results in personalized neural data.
Step 1
Initially, the UAS operator will wear our device in testing environments to help Nudge learn their patterns. This is where the physical feedback model starts to become personalized, delivering physical cues when distraction is sensed.
Wear
Nudge tracks brain signals, responding with physical feedback when it senses distraction through our patent-pending closed-loop algorithm. This gives the UAS operator a simple, effective, and non-intrusive cue to get back on task.
Simultaneously, our app will track productivity patterns and use artificial intelligence to provide invaluable training data for operational assignment, ranking drone operators by their ability to be vigilant. Further, it will provide real-time adaptive triaging, assigning higher risk zones to those with more mental capacity to deal with it.
How it works
How it works
Nudge tracks brain signals, responding with physical feedback when it senses distraction through our patent-pending closed-loop algorithm. This gives the UAS operator a simple, effective, and non-intrusive cue to get back on task.
Simultaneously, our app will track productivity patterns and use artificial intelligence to provide invaluable training data for operational assignment, ranking drone operators by their ability to be vigilant. Further, it will provide real-time adaptive triaging, assigning higher risk zones to those with more mental capacity to deal with it.
Our health data is transferred through an Edge ML model which ensures low latency in air-gapped environments and no cloud dependency. This ensures utmost security and dependability in any environment.
Integrate Data
Privately
Our health data is transferred through an Edge ML model which ensures low latency in air-gapped environments and no cloud dependency. This ensures utmost security and dependability in any environment.
Privately
Integrate data
What we can do for you
Conventional Manned Surveilance
Conventional Manned Surveilance
Conventional Manned Surveilance
Requires dedicated pattern recognition
Requires dedicated pattern recognition
Requires dedicated pattern recognition
Changes and incredibly variable
Changes and incredibly variable
Changes and incredibly variable
Productivity not quantifiable
Productivity not quantifiable
Productivity not quantifiable
Caffeine and other simulants may result in withdrawals
Caffeine and other simulants may result in withdrawals
Caffeine and other simulants may result in withdrawals
Surveilance with Nudge
Surveilance with Nudge
Surveilance with Nudge
Smart, Neuro-Driven Decisions
Smart, Neuro-Driven Decisions
Smart, Neuro-Driven Decisions
Private Data Processing in any environment
Private Data Processing in any environment
Private Data Processing in any environment
Powerful, ML-backed pattern recognition
Powerful, ML-backed pattern recognition
Powerful, ML-backed pattern recognition
Consistent & Reliable Output
Consistent & Reliable Output
Consistent & Reliable Output
Patents
Latest proprietary tech
Wearable EEG-Based System for Detecting Concentration Lapses and Providing Closed-Loop Haptic Feedback (U.S. Provisional)
Filed June 2025
— Stay tuned —
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